The use of Unmanned Aerial Vehicles (UAV) has increased in the last decade, using these technologies for many different topics, such as infrastructure inspection or biodiversity monitoring. The main advantages of thes...
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The use of Unmanned Aerial Vehicles (UAV) has increased in the last decade, using these technologies for many different topics, such as infrastructure inspection or biodiversity monitoring. The main advantages of these systems are its reduced cost and its ability to navigate on hard-accessible areas, what makes it possible to acquire aerial data with a reduced cost. The new technological developments and the progress in the definition of the regulations applicable to these vehicles have allowed the first BVLOS (Beyond Visual Line of Sight) operations to begin to be carried out at a professional level, which has meant a great advance for the UAV sector. In this field, Telespazio Iberica SLU is leading a project called GEOSUB, which objective is the development of a UAV integral solution for biodiversity monitoring. The project has two main parts. The first one is the evolution and improvement of a fixed-wing and multicopter UAV, equipped with four different sensors: RGB camera, multispectral camera, thermographic camera, and a LidAR sensor. The second part focused on the development of a geoinformation processing platform for both the mission planification andmonitoring, and the data processing to obtain the final product. This work presents the preliminary results of the project and goes in depth with the developments made.
Underwater Sensor Networks (UWSNs) and Aeronautical Ad Hoc Networks (AANETs) are Mobile Ad Hoc Networks (MANETs) that need to consider the 3d nature of the network. UWSN presents the opportunity for many applications ...
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ISBN:
(纸本)9781612842547
Underwater Sensor Networks (UWSNs) and Aeronautical Ad Hoc Networks (AANETs) are Mobile Ad Hoc Networks (MANETs) that need to consider the 3d nature of the network. UWSN presents the opportunity for many applications such as coast surveillance, and4d monitoring (space and time) for ocean and biology studies. In AANET, aircrafts can communicate among each other and enhance situation awareness. In this work we study the fundamental properties of 3d MANETs: Link Probability, Node degree and Network Coverage. This work was motivated by fundamental problems currently faced in the deployment of underwater sensor networks and aeronautical ad hoc networks. Link Probability is important in MAC protocols development. determining network coverage is important for sensing applications, i.e., how to guarantee sensing coverage. Node degree is useful in scheduling duty cycles. Since energy is a limited resource, utilizing duty cycles is a major technique to improve network lifetime. We present analytical results for link probability, node degree and network coverage for 3d MANETs assuming random uniform distribution. These results may be applied to a variety of scenarios, platforms and applications. In addition, we describe applications that would benefit from our results.
The photogrammetric treatment of images acquired on a linear axis is a problematic case. Such tricky configurations often leads to bended 3d models, described as a bowl effect, which requires ground measurements to be...
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ISBN:
(纸本)9781629935201
The photogrammetric treatment of images acquired on a linear axis is a problematic case. Such tricky configurations often leads to bended 3d models, described as a bowl effect, which requires ground measurements to be fixed. This article presents different solutions to overcome that problem. All solutions have been implemented into the free open-source photogrammetric suite MicMac. The article presents the lasts evolutions of MicMac's bundle adjustment core, as well as some extended calibration models and how they fit for the camera evaluated. The acquisition process is optimized by presenting how oblique images can improve the accuracy of the orientations, while the 3d models accuracies are assessed by producing a millimeter accurate ground truth from terrestrial photogrammetry.
The western Peruvian region is prone to erosion and geomorphic change. Extreme precipitation events lead to rapid change in river channel and floodplain morphology due to bank erosion anddebris flows delivering detri...
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The western Peruvian region is prone to erosion and geomorphic change. Extreme precipitation events lead to rapid change in river channel and floodplain morphology due to bank erosion anddebris flows delivering detrital material to the fluvial system. monitoring geomorphic events and their associated topographic changes at high spatial and temporal resolutions remains a challenge. Here, we used an Uncrewed Aerial Vehicle - Post-Processing Kinematic -Structure from Motion (UAV-PPK-SfM) approach that includes co-registration of point clouds by using relative Ground Control Points (GCPs). This workflow adjusts each elevation model to a reference model using invariant features that did not change their position or form over time. We applied this technique to monitor landscape change (2019-2021) in an area of 0.3 km2 located in the Can & SIM;ete River basin. Our results showed that a minimum observable elevation change of 0.56 m (95 % confidence interval) can be achieved using this workflow, beyond which an actual elevation change can be separated from systematic error. Using object-based classification techniques on the aerial images, we separated geomorphic dynamics from land cover changes. This allowed us to isolate the effect of geomorphic processes, and quantify rates related to gully erosion, river scouring, bank erosion, and sediment deposition. Within the study area, a hotspot of geomorphic change corresponded to an ephemeral tributary channel. The gully channel incising an alluvial fan is highly dynamic, showing bank erosion of 0.75 to 3.2 m and net export of 37 m3 of sediment in the 25-month study period. Given that the monitoring perioddid not include high intensity rainfall events, the study illustrates how geomorphic activity in ungauged Andean river basins, such as the Can & SIM;ete valley, may be considerably underestimated in literature.
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